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. 2021 Mar 5;34(2):263–272. doi: 10.1007/s10278-021-00434-5

Table 1.

Quantitative evaluation of COVID-19 segmentation results

Model Parameters Dice (%) Sensitivity (%) Specificity (%)
Baseline SegNet + DL 86.06 86.30 99.45
SegNet + TL α = 0.7, β = 0.3 71.02 67.54 99.48
SegNet + TL α = 0.5, β = 0.5 68.97 66.70 99.49
SegNet + TL α = 0.3, β = 0.7 74.85 86.38 98.70
SegNet + FTL α = 0.7, β = 0.3, γ = 4/3 86.58 82.47 99.71
SegNet + FTL α = 0.5, β = 0.5, γ = 4/3 87.44 88.27 99.54
SegNet + FTL α = 0.3, β = 0.7, γ = 4/3 87.56 92.13 99.39
Ours A-SegNet + DL 88.52 88.90 99.56
A-SegNet + TL α = 0.7, β = 0.3 74.65 71.07 99.44
A-SegNet + TL α = 0.5, β = 0.5 88.52 88.31 99.62
A-SegNet + TL α = 0.3, β = 0.7 74.61 79.03 99.28
A-SegNet + FTL α = 0.7, β = 0.3, γ = 4/3 86.96 82.22 99.75
A-SegNet + FTL α = 0.5, β = 0.5, γ = 4/3 89.16 87.99 99.66
A-SegNet + FTL α = 0.3, β = 0.7, γ = 4/3 89.61 92.73 99.51